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Technology Stocks : Son of SAN - Storage Networking Technologies
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To: David A. Lethe who wrote (4258)12/14/2001 12:38:54 AM
From: Gus  Read Replies (2) of 4808
 
Can't tell you the source. I just tell people what I need and it magically shows up ;)

Thanks for the info, David. You just couldn't resist this one though, could you?<g> A lot of people would be more impressed if you can get the scratch to go to this seminar.....and tell us all about it.

SAN DIEGO — A software development firm says it has solved one of the hardest problems in artificial intelligence, successfully extracting hierarchical categories from streams of sensory data. And for $50,000, HNC Software Inc. will tell you just how it accomplished that feat......

.....The system, HNC said, can be applied to diverse problems such as extracting a voice stream from a noisy background or identifying camouflaged vehicles on a battlefield.

The brain implementing such an architecture memorizes synchronicity among its various sensor inputs and scores each new sensory experience for similarity to all previous memories. Even at the gigahertz speeds of current-day serial microprocessors, implementing such system-wide associative memories on any usable scale has been difficult. Without the higher-level software that implements the time-based associations, practical applications have not materialized.

HNC said it has solved this software problem, opening the door to genuine machine intelligence. It's now demonstrating its associative-memory neural networks on a ring of 30 Pentiums that can solve intractable AI problems like the classic "cocktail party problem." In that problem, a listener in a room filled with conversation must extract the voice stream of one speaker. Cortronics does this by modeling the "sparse" neural networks of the brain, with only a few connections to nearby neurons.

HNC is offering Cortronics to interested engineers in a three-week seminar priced at $50,000 a seat. It includes hands-on experience and the source code to the 30-Pentium ring running the "brain" operating system.

Engineers will still need to understand the theory behind the problem-solving system to apply it to real-world systems. "What we really hope to gain by sharing our technology with other companies is to find partners for future AI application development," said Hecht-Nielsen....

eetimes.com
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